Overview

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Audio: Corpus vs Anti-Corpus (Not Actual Data)

Text Metadata

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Colected / Used data as playable playlist (Test)

Audio Features Explenation

Feature Explanation
Valence A measure from 0 to 1 describing the musical positiveness conveyed by a track. Tracks with high valence sound more positive (e.g. happy, cheerful), while tracks with low valence sound more negative (e.g. sad, angry).
Energy Energy is a measure from 0 to 1 and represents a perceptual measure of intensity and activity. Typically, energetic tracks feel fast, loud, and noisy.
Danceability Danceability describes how suitable a track is for dancing based on a combination of musical elements (such as tempo), measured from 0 to 1.
Instrumentalness Predicts whether a track contains no vocals. “Ooh” and “aah” sounds are treated as instrumental in this context. The closer to 1, since it is measured from 0 to 1, the more instrumental the song is.
Acousticness A confidence measure from 0 to 1 of whether the track is acoustic. 1 represents acousticness, and means there are no electric sounds involved.
Speechiness Speechiness detects the presence of spoken words in a track. Measured from 0 to 1, the more speech, the closer to 1.
Liveness Detects the presence of an audience in the recording. Higher liveness values represent an increased probability that the track was performed live, measured from 0 to 1.
Loudness The overall loudness of a track in decibels (dB). Values typical range between -60 and 0 db (represented on a scale from 0 - 1)
Tempo The overall estimated tempo of a track in beats per minute (BPM). Tempo is the speed or pace of a given piece and derives directly from the average beat duration.

Background

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Introduction

  • Contextualizing RQ (still have to formulate it precisely)

Methodlogy

  • Data Collection = Survey to collect songs based on a criteria (we have to fidure out what)
  • Music Infromation Retrieval using Rstudio, Python and the Spoitfy API

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Survey Results

Maybe group participants by demographic and display graphs per demographic or a different criteria??

Discussion

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Discussion

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Final Results

Raw Data

References